Question

which type of error occurs when the null hypothesis is incorrectly rejected?
a. sampling error
b. non - sampling error
c. type i error
d. type ii error

Explanation:

• Sampling error is related to the variability due to sampling.
• Non - sampling error is due to other factors like data collection errors.
• Type I error is defined as rejecting a true null hypothesis.
• Type II error is failing to reject a false null hypothesis.

Answer:

C. Type I Error